Secure monitoring model for smart agriculture using an optimized attribute-based access control centralized authority system

An attribute-based authority system helps in providing file/system access to only authorized users. However, they face specific challenges in securing the dataset from attacks. Hence, a novel hybrid Chimp Optimization -based Elliptical Curve Cryptosystem Model (CbECCM) was designed in this article. The main objective of this model is to overcome these demerits of the existing system and to provide file access to the authorized user. The chimp fitness in the user authorization module improves the system's confidentiality. The presented work was validated with a crop-recommendation dataset, and the outcomes are estimated. Moreover, the homomorphism algorithm increases the data integrity and reduces the time complexity. Finally, the robustness of the developed model was checked by launching the Denial of Service (DoS) attack on the cloud servers. The performance of the designed model is estimated and validated with a comparative analysis. The performance analysis shows that the developed model attained a high confidential rate of 100%. The comparative analysis proves that the developed model achieved better outcomes than others.